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Weighted Sum Secrecy Rate Maximization using Intelligent Reflecting Surface

Niu, H; Chu, Z; Zhou, F; Zhu, Z; Zhang, M; Wong, KK; (2021) Weighted Sum Secrecy Rate Maximization using Intelligent Reflecting Surface. IEEE Transactions on Communications 10.1109/TCOMM.2021.3085780. Green open access

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Abstract

This paper aims to investigate the benefit of using intelligent reflecting surface (IRS) in multi-user multiple-input single-output (MU-MISO) systems, in the presence of eavesdroppers. We maximize the weighted sum secrecy rate by jointly designing the secure beamforming (BF), the artificial noise (AN), as well as the phase shift of the IRS. An alternating optimization (AO) method is proposed to deal with the formulated non convex problem. In particular, the secure beamforming and AN jamming matrix are optimally designed via the successive convex approximation (SCA) approach for given phase shift, which can be derived by considering the alternating direction method of multiplier (ADMM) and element-wise block coordinate decent (EBCD) methods. Finally, simulation results are presented to show the benefit of the IRS in terms of improving the secrecy performance, when compared to other methods.

Type: Article
Title: Weighted Sum Secrecy Rate Maximization using Intelligent Reflecting Surface
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TCOMM.2021.3085780
Publisher version: http://dx.doi.org/10.1109/TCOMM.2021.3085780
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Intelligent reflecting surface (IRS), secure transmission, alternating optimization, alternating direction method of multiplier (ADMM), element-wise block coordinate decent (EBCD)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10129811
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